摘要:
The present approach increases bandwidth by performing at least two functions at the pre-processing level. Specifically, under the present approach, program code is structured so that the segmentation and binarization functions/modules (and optionally a blob analysis function/module) are merged into a single module to reduce memory bandwidth. In addition, each image frame is segmented into a plurality of partitions (e.g., vertical strips) to enhance the reusability of the image data in LS already fetched from main memory. Each partition is then processed by a separate one of a plurality of processing engines, thereby increasing the utilization of all processing engines and allowing the processing engines to maintain good bandwidth.
摘要:
The present approach increases bandwidth by performing at least two functions at the pre-processing level. Specifically, under the present approach, program code is structured so that the segmentation and binarization functions/modules (and optionally a blob analysis function/module) are merged into a single module to reduce memory bandwidth. In addition, each image frame is segmented into a plurality of partitions (e.g., vertical strips) to enhance the reusability of the image data in LS already fetched from main memory. Each partition is then processed by a separate one of a plurality of processing engines, thereby increasing the utilization of all processing engines and allowing the processing engines to maintain good bandwidth.
摘要:
The present invention uses a common, hybrid system platform to provide a generalized medical image processing system that can handle the existing medical image application as it is and route the compute intensive medical image processing to a multi-core processor/processing system. The invention allows the processing platform to be shared among healthcare system such as mammography, X-ray, CT Scan MRI, two-photon, laser microscopy, digital pathology, etc. It also allows the processing platform to deliver medical images to a variety of client devices, such as a desktop computer or a handheld device, through the network without high-performance graphical display capabilities because the rendering of the medical images is performed on the Cell BE based platform of the invention.
摘要:
The present invention provides a hybrid image processing system, which generally includes an image processing unit for receiving image data corresponding to a set of images, generating commands for processing the image data, and sending the images and the commands to an image processing unit of the hybrid image processing system. Upon receipt, the image processing unit will recognize and interpret the commands, assign and/or schedule tasks for processing the image data to a set of (e.g., special) processing engines based on the commands, and return results and/or processed image data to the image interface unit.
摘要:
The present invention provides a hybrid image processing system, which generally includes an image processing unit for receiving image data corresponding to a set of images, generating commands for processing the image data, and sending the images and the commands to an image processing unit of the hybrid image processing system. Upon receipt, the image processing unit will recognize and interpret the commands, assign and/or schedule tasks for processing the image data to a set of (e.g., special) processing engines based on the commands, and return results and/or processed image data to the image interface unit.
摘要:
The present invention uses a common, hybrid system platform to provide a generalized medical image processing system that can handle the existing medical image application as it is and route the compute intensive medical image processing to a multi0core processor/processing system. The invention allows the processing platform to be shared among healthcare system such as mammography, X-ray, CT Scan MRI, two-photon, laser microscopy, digital pathology, etc. It also allows the processing platform to deliver medical images to a variety of client devices, such as a desktop computer or a handheld device, through the network without high-performance graphical display capabilities because the rendering of the medical images is performed on the Cell BE based platform of the invention.
摘要:
This solution relates to machine vision computing environments, and more specifically relates to a system and method for selectively accelerating the execution of image processing applications using a cell computing system. The invention provides a high performance machine vision system over the prior art and provides a method for executing image processing applications on a Cell and BPE3 image processing system. Moreover, implementations of the invention provide a machine vision system and method for distributing and managing the execution of image processing applications at a fine-grained level via a PCIe connected system. The hybrid system is replaced with the BPE3 and the switch is also eliminated from the prior in order to meet over 1 GB processing requirement.
摘要:
The present invention provides a high bandwidth image processing system, which generally includes an image processing unit having a set of servers that each have a universal operating system for receiving image data corresponding to a set of images, generating commands for processing the image data, and sending the images and the commands to an image processing unit (also having a universal operating system(s)) of the high bandwidth image processing system. Upon receipt, the image processing unit will recognize and interpret the commands, assign and/or schedule tasks for processing the image data to a set of (e.g., special) processing engines based on the commands, and return results and/or processed image data to the image interface unit.
摘要:
The present invention provides a high bandwidth image processing system, which generally includes an image processing unit having a set of servers that each have a universal operating system for receiving image data corresponding to a set of images, generating commands for processing the image data, and sending the images and the commands to an image processing unit (also having a universal operating system(s)) of the high bandwidth image processing system. Upon receipt, the image processing unit will recognize and interpret the commands, assign and/or schedule tasks for processing the image data to a set of (e.g., special) processing engines based on the commands, and return results and/or processed image data to the image interface unit.
摘要:
This solution relates to machine vision computing environments, and more specifically relates to a system and method for selectively accelerating the execution of image processing applications using a cell computing system. The invention provides a high performance machine vision system over the prior art and provides a method for executing image processing applications on a Cell and BPE3 image processing system. Moreover, implementations of the invention provide a machine vision system and method for distributing and managing the execution of image processing applications at a fine-grained level via a PCIe connected system. The hybrid system is replaced with the BPE3 and the switch is also eliminated from the prior in order to meet over 1 GB processing requirement.